- neuro_src.zip
- neuro_src
- Docs
- AForge.Core.chm
- AForge.Neuro.chm
- Release
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Samples
- Neuro
- Back Propagation
- Approximation
- TimeSeries
- XORProblem
- Simple
- Delta Rule Learning
- One-Layer Perceptron Classifier
- Perceptron Classifier
- SOM
- Sources
- neuro_demo.zip
- neuro_demo
- Back Propagation
- Approximation
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Approximation.exe
- Data Samples
- TimeSeries
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Data Samples
- TimeSeries.exe
- XORProblem
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- XORProblem.exe
- Simple
- Delta Rule Learning
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Classifier.exe
- Data Samples
- One-Layer Perceptron Classifier
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Classifier.exe
- Data Samples
- Perceptron Classifier
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Classifier.exe
- Data Samples
- SOM
- 2DOrganizing
- 2DOrganizing.exe
- AForge.dll
- AForge.Neuro.dll
- Color
- AForge.dll
- AForge.Neuro.dll
- Color.exe
- TSP
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- TSP.exe
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// AForge Neural Net Library
//
// Copyright � Andrew Kirillov, 2005-2006
// andrew.kirillov@gmail.com
//
namespace AForge.Neuro
{
using System;
/// <summary>
/// Base neural layer class
/// </summary>
///
/// <remarks>This is a base neural layer class, which represents
/// collection of neurons.</remarks>
///
public abstract class Layer
{
/// <summary>
/// Layer's inputs count
/// </summary>
protected int inputsCount = 0;
/// <summary>
/// Layer's neurons count
/// </summary>
protected int neuronsCount = 0;
/// <summary>
/// Layer's neurons
/// </summary>
protected Neuron[] neurons;
/// <summary>
/// Layer's output vector
/// </summary>
protected double[] output;
/// <summary>
/// Layer's inputs count
/// </summary>
public int InputsCount
{
get { return inputsCount; }
}
/// <summary>
/// Layer's neurons count
/// </summary>
public int NeuronsCount
{
get { return neuronsCount; }
}
/// <summary>
/// Layer's output vector
/// </summary>
///
/// <remarks>The calculation way of layer's output vector is determined by
/// inherited class.</remarks>
///
public double[] Output
{
get { return output; }
}
/// <summary>
/// Layer's neurons accessor
/// </summary>
///
/// <param name="index">Neuron index</param>
///
/// <remarks>Allows to access layer's neurons.</remarks>
///
public Neuron this[int index]
{
get { return neurons[index]; }
}
/// <summary>
/// Initializes a new instance of the <see cref="Layer"/> class
/// </summary>
///
/// <param name="neuronsCount">Layer's neurons count</param>
/// <param name="inputsCount">Layer's inputs count</param>
///
/// <remarks>Protected contructor, which initializes <see cref="inputsCount"/>,
/// <see cref="neuronsCount"/>, <see cref="neurons"/> and <see cref="output"/>
/// members.</remarks>
///
protected Layer( int neuronsCount, int inputsCount )
{
this.inputsCount = Math.Max( 1, inputsCount );
this.neuronsCount = Math.Max( 1, neuronsCount );
// create collection of neurons
neurons = new Neuron[this.neuronsCount];
// allocate output array
output = new double[this.neuronsCount];
}
/// <summary>
/// Compute output vector of the layer
/// </summary>
///
/// <param name="input">Input vector</param>
///
/// <returns>Returns layer's output vector</returns>
///
/// <remarks>The actual layer's output vector is determined by inherited class and it
/// consists of output values of layer's neurons. The output vector is also stored in
/// <see cref="Output"/> property.</remarks>
///
public virtual double[] Compute( double[] input )
{
// compute each neuron
for ( int i = 0; i < neuronsCount; i++ )
output[i] = neurons[i].Compute( input );
return output;
}
/// <summary>
/// Randomize neurons of the layer
/// </summary>
///
/// <remarks>Randomizes layer's neurons by calling <see cref="Neuron.Randomize"/> method
/// of each neuron.</remarks>
///
public virtual void Randomize( )
{
foreach ( Neuron neuron in neurons )
neuron.Randomize( );
}
}
}
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Started software development at about 15 years old and it seems like now it lasts most part of my life. Fortunately did not spend too much time with Z80 and BK0010 and switched to 8086 and further. Similar with programming languages – luckily managed to get away from BASIC and Pascal to things like Assembler, C, C++ and then C#. Apart from daily programming for food, do it also for hobby, where mostly enjoy areas like Computer Vision, Robotics and AI. This led to some open source stuff like
AForge.NET,
Computer Vision Sandbox,
cam2web,
ANNT, etc.